Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.
2023-10-25
Businesses worldwide now operate on a team basis, and a high-performing team is crucial for high-performing organizations. Winning teams are more focused and better than regular teams. They focus on synergies and achieving significant results. They are an extension of regular teams with a higher sense of commitment to objectives and mutual purpose. Winning teams have a clear mission and achievable performance goals for each member, aiming for extraordinary goals. They are more committed to the vision and have a passion for achieving the mission. Winning teams work collaboratively to discover new work approaches, principles, and practices, focusing on decision-making, creative problem-solving, industry standards, and effective communication. They establish processes from beginning to end to complete tasks effectively. The difference between winning team and a regular team is very clear. However, what makes a winning team a champion team. This paper aims to provide valuable insights into the differentiating factors of a champion team from a winning one.
2023-10-23
1,314 reads
There’s been a lot of talk about GitHub Copilot recently, loudly touted as Your AI pair programmer. According to GitHub, Copilot for Business brings the power of generative AI to engineering teams, accelerating the speed of software development and innovation.
2023-10-23
Learn about how SQL Server uses locks when modifying data and how data is committed to a database after data changes.
2023-10-23
Learn how to use CTEs through the use of a number of examples.
2023-10-20
10,520 reads
Learn about the different tables that can be created using Azure Databricks with a dive deep into the importance of Delta Lake tables.
2023-10-20
The SQL Server Database Engine processes queries on various data storage architectures such as local tables, partitioned tables, and tables distributed across multiple servers. The following sections cover how SQL Server processes queries and optimizes query reuse through execution plan caching.
2023-10-20
Several data management patterns have emerged for microservices and cloud-native solutions. Learn important patterns to manage data in a distributed environment.
2023-10-18
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
In this article, we look at execution plans and performance of a natively compiled stored procedure versus a traditional stored procedure.
2023-10-16
Running AI and data pipelines on the edge instead of the cloud has gone...
By Steve Jones
While writing another post I realized my UNION query didn’t work as one might...
By James Serra
Since the release of my book Deciphering Data Architectures: Choosing Between a Modern Data...
Comments posted to this topic are about the item Secure Cached Plans
Comments posted to this topic are about the item Complex Data Processing with dbt...
Comments posted to this topic are about the item Over or Under Provisioned
The DMV, sys.dm_exec_cached_plans, contains rows for each cached plan on an instance. In Azure SQL Database, not every used has rights to every database, as there does exist an instance behind each database. How is security handled for this DMV in Azure?
See possible answers